Senior Data Scientist
IBM
Senior Data Scientist
Job Description
Senior Data Scientist
📋 Job Overview
As a Senior Data Scientist at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves designing and implementing data pipelines, developing search systems, and optimizing ML models to enhance chatbot functionality, particularly in NLP and RAG. You will also evaluate model performance and collaborate with analysts to align technical metrics with business goals.
📍 Location: Giza, EG
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
- Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
- Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
- Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
- Monitor model performance in production and implement strategies for retraining and improvement
- Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics
✅ Required Qualifications
- Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP
- Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers)
- In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts
- Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch)
- Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform)
- Experience with data pipelines and ETL processes
- Strong analytical skills and the ability to interpret complex datasets
- Experience with A/B testing and experimental design for ML models
⭐ Preferred Qualifications
- Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer'
🛠️ Required Skills
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Hugging Face Transformers
- NLP
- RAG
- Vector Databases
- Elasticsearch
- Pinecone
- Milvus
- GCP AI/ML services
- Vertex AI
- BigQuery ML
- Cloud Natural Language API
- Cloud AI Platform
- Data pipelines
- ETL processes
- Analytical skills
- A/B testing
- Experimental design
- Collaboration
- Business metrics translation
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Flexible working patterns
- Equal-opportunity employment
Locations
- Giza, EG, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- scikit-learnintermediate
- Hugging Face Transformersintermediate
- NLPintermediate
- RAGintermediate
- Vector Databasesintermediate
- Elasticsearchintermediate
- Pineconeintermediate
- Milvusintermediate
- GCP AI/ML servicesintermediate
- Vertex AIintermediate
- BigQuery MLintermediate
- Cloud Natural Language APIintermediate
- Cloud AI Platformintermediate
- Data pipelinesintermediate
- ETL processesintermediate
- Analytical skillsintermediate
- A/B testingintermediate
- Experimental designintermediate
- Collaborationintermediate
- Business metrics translationintermediate
Required Qualifications
- Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP (experience)
- Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) (experience)
- In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts (experience)
- Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch) (experience)
- Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform) (experience)
- Experience with data pipelines and ETL processes (experience)
- Strong analytical skills and the ability to interpret complex datasets (experience)
- Experience with A/B testing and experimental design for ML models (experience)
Preferred Qualifications
- Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer' (experience)
Responsibilities
- Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
- Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
- Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
- Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
- Monitor model performance in production and implement strategies for retraining and improvement
- Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Flexible working patterns
- general: Equal-opportunity employment
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Senior Data Scientist
IBM
Senior Data Scientist
Job Description
Senior Data Scientist
📋 Job Overview
As a Senior Data Scientist at IBM, you will work in our Consulting Client Innovation Centers, delivering technical expertise to clients globally. Your role involves designing and implementing data pipelines, developing search systems, and optimizing ML models to enhance chatbot functionality, particularly in NLP and RAG. You will also evaluate model performance and collaborate with analysts to align technical metrics with business goals.
📍 Location: Giza, EG
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
- Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
- Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
- Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
- Monitor model performance in production and implement strategies for retraining and improvement
- Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics
✅ Required Qualifications
- Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP
- Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers)
- In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts
- Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch)
- Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform)
- Experience with data pipelines and ETL processes
- Strong analytical skills and the ability to interpret complex datasets
- Experience with A/B testing and experimental design for ML models
⭐ Preferred Qualifications
- Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer'
🛠️ Required Skills
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Hugging Face Transformers
- NLP
- RAG
- Vector Databases
- Elasticsearch
- Pinecone
- Milvus
- GCP AI/ML services
- Vertex AI
- BigQuery ML
- Cloud Natural Language API
- Cloud AI Platform
- Data pipelines
- ETL processes
- Analytical skills
- A/B testing
- Experimental design
- Collaboration
- Business metrics translation
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment daily
- Continuous trust and support in an inclusive environment
- Flexible working patterns
- Equal-opportunity employment
Locations
- Giza, EG, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- TensorFlowintermediate
- PyTorchintermediate
- scikit-learnintermediate
- Hugging Face Transformersintermediate
- NLPintermediate
- RAGintermediate
- Vector Databasesintermediate
- Elasticsearchintermediate
- Pineconeintermediate
- Milvusintermediate
- GCP AI/ML servicesintermediate
- Vertex AIintermediate
- BigQuery MLintermediate
- Cloud Natural Language APIintermediate
- Cloud AI Platformintermediate
- Data pipelinesintermediate
- ETL processesintermediate
- Analytical skillsintermediate
- A/B testingintermediate
- Experimental designintermediate
- Collaborationintermediate
- Business metrics translationintermediate
Required Qualifications
- Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP (experience)
- Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) (experience)
- In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts (experience)
- Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch) (experience)
- Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform) (experience)
- Experience with data pipelines and ETL processes (experience)
- Strong analytical skills and the ability to interpret complex datasets (experience)
- Experience with A/B testing and experimental design for ML models (experience)
Preferred Qualifications
- Google certification 'Generative AI Leader', 'Data Practitioner', 'Machine Learning Engineer', 'Cloud Database Engineer', 'Data Engineer', 'Cloud Security Engineer' (experience)
Responsibilities
- Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation
- Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG
- Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant)
- Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience
- Monitor model performance in production and implement strategies for retraining and improvement
- Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment daily
- general: Continuous trust and support in an inclusive environment
- general: Flexible working patterns
- general: Equal-opportunity employment
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs